Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …

When detecting phishing websites, both humans and computers rely on aspects of the
website (features) to aid in their decision making. In this work, we conduct a review of URL …

We perform an in-depth, systematic benchmarking study and evaluation of phishing features
on diverse and extensive datasets. We propose a new taxonomy of features based on the …

There has been ever-growing use of Internet and progress within many communication
channels such as social media and this escalates the need for rapid and low source …

Phishing is a harmful online attack that could lead to identity theft and financial damages.
The demand for high-accuracy phishing detection tools has risen due to the increase of …

The problem of imbalanced classes arises frequently in binary classification tasks. If one
class outnumbers another, trained classifiers become heavily biased towards the majority …

Phishing is one of the biggest crimes in the world and involves the theft of the user's
sensitive data. Usually, phishing websites target individuals' websites, organizations, sites …

Malicious websites are responsible for a majority of the cyber-attacks and scams today.
Malicious URLs are delivered to unsuspecting users via email, text messages, pop-ups or …

Indicators of Compromise (IOCs) are artifacts observed on a network or in an operating
system that can be utilized to indicate a computer intrusion and detect cyber-attacks in an …

Malicious websites present a substantial threat to the security and privacy of individuals
using the internet. Traditional approaches for identifying these malicious sites have …